Translate and dub YouTube videos using BrowserAct, Telegram, Gemini & ElevenLabs

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1. Workflow Overview

Translate and dub YouTube videos using BrowserAct, Telegrma & Gemini This workflow transforms any YouTube video into a localized audio experience. It scrapes the video content, translates the trans...

Best for

Content Creation automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.lmchatopenrouter, n8n-nodes-base.set, @elevenlabs/n8n-nodes-elevenlabs.elevenlabs, n8n-nodes-browseract.browseract, n8n-nodes-base.telegram

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Madame AI Team | Kai.

Original n8n.io source

1.1 Workflow description

Title: Translate and dub YouTube videos using BrowserAct, Telegram, Gemini & ElevenLabs
Workflow name: Translate and dub YouTube videos using BrowserAct, Telegram, Gemini & ElevenLabs

Translate and dub YouTube videos using BrowserAct, Telegrma & Gemini

This workflow transforms any YouTube video into a localized audio experience. It scrapes the video content, translates the transcript into your target language using AI, generates high-quality dubbed audio using ElevenLabs, and delivers the audio files and a summary directly to your Telegram chat.

Target Audience

Content creators, language learners, and educators looking to make video content accessible in multiple languages.

How it works

Receive Link: You send a YouTube video link to your Telegram bot.
Extract URL: An AI Agent extracts the clean YouTube URL from your message.
Scrape Content: BrowserAct executes a background task to fetch the video's transcript, description, and metadata.
Translate & Script: A specialized AI Agent (using Google Gemini) translates the transcript into your chosen target language (e.g., Spanish). It also segments the text into logical parts for dubbing.
Generate Audio: ElevenLabs synthesizes the translated text segments into natural-sounding speech.
Deliver: The workflow sends the dubbed audio files and a translated summary post to your Telegram chat.

How to set up

Configure Credentials: Connect your Telegram, BrowserAct, ElevenLabs, and Google Gemini accounts in n8n.
Prepare BrowserAct: Ensure the YouTube Translator & Auto Dubber template is saved in your BrowserAct account.
Configure Telegram: Ensure your bot is created via BotFather and the API token is added to the Telegram credentials.
Set Language: Open the Define Language node to set your desired target language (default is "Spanish").
Activate: Turn on the workflow.
Test: Send a YouTube link to your bot to start the dubbing process.

Requirements

BrowserAct account with the YouTube Translator & Auto Dubber template.
ElevenLabs account.
Telegram account (Bot Token).
Google Gemini account.

How to customize the workflow

Change Voice: Open the Convert text to speech node and select a different ElevenLabs voice model.
Add More Languages: Add logic to the Define Language node to let the user select a language via a Telegram menu.
Change Output: Replace the Telegram output with a Google Drive node to save the audio files for later use.

Need Help?

Workflow Guidance and Showcase Video

One-Click YouTube Translator: Auto-Dub Your YouTube Videos with n8n & ElevenLabs 🌍

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Validate inputs

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 2 - Analyze user Input

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 3 - Structured Output

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 4 - OpenRouter Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 5 - Define Language

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 6 - Convert text to speech

Type / Role: @elevenlabs/n8n-nodes-elevenlabs.elevenLabs - elevenLabs
Config choices: Version 1

Block 7 - Extract Youtube Transcript

Type / Role: n8n-nodes-browseract.browserAct - browserAct
Config choices: Version 1

Block 8 - Analyze Transcript and Generate Dub

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 9 - Check Output

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 10 - Send Summary Back to Bot

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 11 - Split Generated Dubbed Content

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 12 - Send Dubbed Audio File

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 13 - Process Initialization Alert

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 14 - User Sends Message to Bot

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1.2

Block 15 - Documentation

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Step 1 Explanation

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - Step 2 Explanation

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 18 - Step 3 Explanation

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 19 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 20 - Loop Over Generated Items

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

3. Summary Table

Workflow	Translate and dub YouTube videos using BrowserAct, Telegram, Gemini & ElevenLabs
Complexity	advanced
Nodes	20
Categories	Content Creation, Multimodal AI
Author	Madame AI Team \| Kai
Published	01 Jan 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/12361/12361.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Content Creation workflows Multimodal AI workflows

Frequently asked questions

What does Translate and dub YouTube videos using BrowserAct, Telegram, Gemini & ElevenLabs do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.

Madame AI Team | Kai

50 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatgooglegemini @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.outputparserstructured @n8n/n8n-nodes-langchain.lmchatopenrouter n8n-nodes-base.set @elevenlabs/n8n-nodes-elevenlabs.elevenlabs n8n-nodes-browseract.browseract n8n-nodes-base.telegram

Complexity

advanced

Published 01 Jan 2026

Likes 0

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Install path: /data/workflows/12361/12361.json

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Translate and dub YouTube videos using BrowserAct, Telegram, Gemini & ElevenLabs

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Translate and dub YouTube videos using BrowserAct, Telegrma & Gemini

Target Audience

How it works

How to set up

Requirements

How to customize the workflow

Need Help?

Workflow Guidance and Showcase Video

One-Click YouTube Translator: Auto-Dub Your YouTube Videos with n8n & ElevenLabs 🌍

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Validate inputs

Block 2 - Analyze user Input

Block 3 - Structured Output

Block 4 - OpenRouter Chat Model

Block 5 - Define Language

Block 6 - Convert text to speech

Block 7 - Extract Youtube Transcript

Block 8 - Analyze Transcript and Generate Dub

Block 9 - Check Output

Block 10 - Send Summary Back to Bot

Block 11 - Split Generated Dubbed Content

Block 12 - Send Dubbed Audio File

Block 13 - Process Initialization Alert

Block 14 - User Sends Message to Bot

Block 15 - Documentation

Block 16 - Step 1 Explanation

Block 17 - Step 2 Explanation

Block 18 - Step 3 Explanation

Block 19 - Sticky Note

Block 20 - Loop Over Generated Items

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions